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For prestressing steel’s factory production control, approvals, and continuous surveillance in Germany, a susceptibility test against hydrogen-induced stress corrosion cracking is performed. The measured time to fracture results (in hours) must be reproducible and reliable in the test. ISO 15630-3 gives currently unpersuasive and diverging results using a free corrosion approach for hydrogen charging. A newly developed test method uses cathodic polarization for defined hydrogen charging instead of an uncontrolled and variable electron supply by metal dissolution during free corrosion. With this new test method, a reliable differentiation is possible between highly susceptible-known “old-type” quenched and tempered prestressing steel, i.e., Neptun, Hennigsdorfer, Sigma, and currently approved cold-drawn wires St 1470/1670 (CDS-1670) and St 1570/1770 (CDS-1770). The reproducibility of the new test method was evaluated in a round-robin test with eight attended testing institutes on a St 1470/1670 (CDS-1670) batch.
Large-diameter monopiles are the most common foundation structures for offshore wind turbines. One relevant failure mode during installation is plastic failure of the pile tip which may increase progressively during further driving (pile tip buckling; extrusion buckling). This paper presents the details and results of a large-scale field-test campaign with dynamic pile installation for the validation and calibration of different numerical approaches concerning pile-tip buckling phenomena. The phenomenology of observed pile-tip failures is here described in detail and a first quantitative approach is evaluated based on the field-test data. As the number of new projects continues to grow and the necessity to construct wind farms in challenging terrain increases, such field data-sets will become increasingly relevant.
This presentation at CONSEC24 gives an overview of the new stress corrosion cracking test for prestressing steel wires using cathodic polarisation. Design of Experiments (DOE) studies on prestressing levels and cathodic current density on time to fracture will be presented, testing different prestressing steels. Finally, an experimental solution for testing strands is proposed.
The presented joint research project “CaPreFloor”, which started in 2023, aims to revolutionise the building construction practice by employing prestressed textile-reinforced concrete using carbon-fiber-reinforced polymer (CFRP) for the design of lightweight floor elements. This allows the reduction of common steel reinforced concrete floors of 30 cm thickness to 10 cm for office, residential, and hotel buildings. Lower material consumption significantly contributes to the conservation of resources and minimises the carbon footprint. In addition, the prefabrication of these floor elements leads to high and consistent quality, short construction times and enhanced reusability of the components.
A team of experts from various fields of research and practice is working on this project to achieve the set goal.
The goal of the experiments is to demonstrate that systems like three-dimensional jackets possess redundancies that, despite the reduced fatigue life of individual components, enable reliable operation if an appropriate maintenance concept is in place. In practice, individual potentially faulty components in the structure have been handled conservatively so far. To move away from this approach, methods and strategies in the field of life cycle management that enable economically optimal and reliable operation must be transferred from scientific research to practice. Experiments are the preferred method to establish the proof of concept.
To realistically simulate the operational lifetime of a jacket structure through an experiment, cyclic loads must be applied to the structure to replicate typical fatigue processes. To ensure that the test structure is not a "disposable product" and can undergo multiple test cycles, the experimental concept includes system-level and component-level tests. The latter are conducted on removable joints. These elements at the nodes of the structure have been manufactured in multiple variations, both to potentially contain mentioned flaws and to undergo more load cycles individually than the main structure. Once the removable joint is sufficiently pre-damaged and thus the reduced remaining fatigue life is established, the element is inserted into the overall structure. The defined maintenance strategy is then implemented on the entire system. This strategy consists of structural health monitoring (SHM), inspections, and repairs. At defined intervals, cyclic loading is interrupted to apply dynamic loads. Using the installed monitoring system and coupled operational modal analysis (OMA), the modal parameters of the structure are determined, which can help identify potential system damage. Optimal sensor placement (OSP) can be determined based on a maximum value of information (VoI) across the entire pre-posterior predicted service life. For detailed investigations at the hotspots, inspections are conducted using non-destructive methods, among others. Overall global and local information about the structure's condition is gathered these methods, which are then incorporated into models describing the structure through Bayesian updating. This allows for initial system identification based on different system responses and later updating of the predicted parameters of analytical and numerical models. Utilizing the updated models, decisions regarding maintenance actions, such as further inspections or repairs, are made, which are subject to uncertainties. The probabilistic models enable a reliability- and risk-based maintenance strategy, where, for example, maximum failure rates can act as triggers for maintenance actions. These decisions are relevant for the planned duration of the simulated operational lifetime, as well as for potential lifetime extensions, which are currently of significant importance in practice. Optimizing the maintenance strategy for the operational lifetime of the structures with these methods will lead to a higher utility of the offshore wind farm.
The work associated with the test structure encompasses a variety of topics (including fatigue, damage detection and identification, reliability, Bayesian updating, system identification, SHM, maintenance planning, decisions under uncertainties), which are integrated through corresponding models and methods. All these models have been and are being applied in the numerical accompaniment of the experiments. By applying them to a structure that includes the relevant locations and aspects of real-world structures, both well-functioning and suboptimal parts of the established framework will be revealed.
An optimisation tool was developed to reduce the embodied carbon of floor systems. The consideredsystem consists of a doubly curved beam-like shell made of carbon-fibre-reinforced polymer (CFRP) prestressed concrete and an infill layer. The thin-walled design of the system makes it susceptible to sound excitation. Therefore, the optimisation tool considers the static ultimate and serviceability limit states and the sound insulation aspect. Due to a lack of experience with the building acoustic properties of this floor system, it is, in practice, often simplified as a homogeneous floor. This paper aims to investigate its acoustic behaviour in more detail using numerical simulations and to integrate the gained knowledge into the optimisation tool. For this purpose, a simulation concept is set up and implemented. Simulations are carried out for different combinations of geometry and material parameters of the floor system. The data obtained is summarised into linear regression equations that estimate the weighted airborne sound reduction index and the weighted equivalent normalised impact sound pressure level of the system. The optimisation results based on these equations show a clear difference compared to those based on the above-mentioned simplified approach.
Der Einsatz von hoch zugbeanspruchbarem und korrosionsbeständigem Carbongelege anstelle von herkömmlichem Spannstahl ermöglicht es Beton vorzuspannen und gleichzeitig die Betondeckung auf ein für den Verbund nötiges Minimum zu reduzieren. Das Carbongelege besteht aus Carbonfasern in einer Kunststoffmatrix. Mit dieser Bauweise können dünnwandige und damit ressourcenschonende Deckenelemente realisiert werden. Der Wechsel von massiven zu filigranen und vergleichsweise leichten Bauteilen führt jedoch aufgrund der geringeren Masse und der damit einhergehenden schnelleren Erwärmung zu einer Abnahme des Feuerwiderstands. Ferner führt die Erweichung der Matrix im Brandfall zu einer Abnahme der Verbundfestigkeit zwischen Carbongelege und Beton. Die Brennbarkeit des Carbongeleges sowie die Abplatzneigung des verwendeten Feinbetons stellen weitere Herausforderungen für den baulichen Brandschutz dar.
Der Beitrag stellt Versuchsergebnisse zum Abplatz- und Hochtemperaturverhalten von Carbonbeton vor, die im Rahmen des Verbundvorhabens „Vorgespannte Carbonbetondecken mit reduzierten Querschnitten“ (CaPreFloor) erzielt wurden. Für die Untersuchung der Tragfähigkeit bei hohen Temperaturen wurden 4-Punkt-Biegeversuche an balkenförmigen Prüfkörpern (150 x 30 x 6 cm³) mit einlagiger Carbonbewehrung und instationärer Temperaturbeanspruchung durchgeführt. Neben dem Vorspanngrad des Carbongeleges wurde auch der Gelegetyp variiert. Im Bereich der konstanten Biegezugzone erfolgt die einseitige Erwärmung mittels elektrisch betriebener Heizmatten. Während der kontinuierlichen Erwärmung werden die Prüfkörper mit einer konstanten Kraft belastet, deren Betrag aus zuvor durchgeführten Biegeversuchen bei Raumtemperatur abgeleitet wurde.
Die Abplatzversuche werden mit Einheits-Temperaturzeitkurve an rechteckigen (60 x 60 x 6 cm³) und kreisrunden (Ø 47 x 6 cm³), plattenförmigen Prüfkörpern am 1m³-Ofen der BAM durchgeführt. Die kreisrunden Prüfkörper sind zusätzlich mit einem Stahlring zur Behinderung der thermischen Dehnung des Betons versehen. Um den Einfluss des Geleges auf das Abplatzverhalten zu analysieren, werden sowohl Prüfkörper mit Carbongelege als auch unbewehrte Prüfkörper untersucht. Die daraus resultierenden Erkenntnisse fließen in die weitere Entwicklung der vorgespannten Carbonbetondeckenelemente ein. Anhand von realmaßstäblichen Brandversuchen wird der Feuerwiderstand dieser Bauteile im weiteren Projektverlauf bestimmt.
Additive manufacturing of concrete structures, also known as 3D concrete printing, is a technology that received a lot of attention over the past decade due to its financial an ecological advantage as sustainable construction technology. Although several techniques and approaches demonstrate these advantages, quality control during printing is highly challenging and rarely applied and harmonized standards are not existing. Due to the continuous mixing process used in 3D concrete printing, it is impossible to exclude variations in the dry mixture or water content, and a single test sample is insufficient to be representative for the whole structure. A defect in one layer during the printing can affect the entire integrity of the whole structure. This study shows the results of an arch designed as framework structure that was printed multiple times under the same boundary conditions using an extrusion-based 3D concrete printer. Each arch was tested for its mechanical strength and load bearing behavior. The results of the mechanical testing of the printed arches are compared with material data obtained by classical tests and discussed regarding their statistical significance.
The use of biochar as a concrete constituent has been proposed to reduce the massive carbon footprint of concrete. Due to the low density and complex porosity of biochar, microstructural analysis of Portland cement-biochar composites is challenging.
This causes challenges to the improvement of the micro-scale understanding of biochar composite behavior. This work advances the microstructural understanding of Portland cement composites with 0, 5, and 25 volume percent (vol%) of cement replaced with wood biochar by applying common characterization techniques of mercury intrusion porosimetry (MIP), gas sorption, scanning electron microscopy, and isothermal heat flow calorimetry (HFC) in conjunction with 1H nuclear magnetic resonance (NMR) and micro-X-ray computed tomography (XCT) analysis techniques. The combination of these techniques allows a multi-scale investigation of the effect of biochar on the microstructure of cement paste. NMR and XCT techniques allow the observation and quantification of the pore space. HFC and MIP confirmed that biochar absorbs moisture and reduces the effective water-cement ratio. Gas sorption, MIP, and NMR shows that 5 vol% replacement does not significantly affect the gel and capillary pore structures. Results from XCT (supported by MIP and NMR) show that biochar can reduce the formation of larger pores.
Importantly, XCT results suggest that biochar can act as a flaw in the microstructure which could explain reductions in the mechanical properties. Overall, the mechanical properties already analyzed in the literature are consistent with the microstructural changes observed, and these results highlight the need to carefully tailor the volume fraction of biochar to control its effect on the paste microstructure.
Resistance to carbonation and chloride migration are critical durability properties in cementitious construction materials. The ingress of CO2 and chlorides can lead to concrete deterioration and reinforcement corrosion, underscoring the importance of ensuring high resistance to these durability-reducing factors. Traditional methods, such as determinating the carbonation coefficient using standard procedures, are time-consuming and resource-intensive. These tests typically require 42 days of preconditioning, followed by 70 days before the final results can be determined using a phenolphthalein test, for a total duration of 112 days. In addition, some test chambers can only accommodate four samples at a time.
In this study, we investigate whether 1H NMR relaxometry can effectively predict not only the carbonation resistance, KAC,3%, but also the chloride migration coefficient, DRCM, and the compressive strength, fc, of concrete, providing a method that could potentially streamline and accelerate the material development process by directing us quickly to potentially well-suited formulations. We performed measurements on non-carbonated fully saturated concrete and mortar samples at 28, 56, and 92 days using the NMR tomograph at BAM (8.9 MHz). Notably, the NMR measurements taken at 28 days showed no significant differences, suggesting that this timeframe is sufficient for meaningful results. The samples analyzed were drill cores, each 70 mm in diameter and approximately 120 mm in height. The NMR features we focused on included the initial amplitude E0, the x and y values of the dominant T2 relaxation time, and the logarithmic mean of the T2 relaxation time distribution. Another key feature was the surface relaxivity, which was determined by comparing the NMR curves with results from mercury intrusion porosimetry. We examined the correlation of these NMR features with the aforementioned durability properties, which were determined in a laboratory on sister samples using standard procedures. No chloride migration tests were performed on the mortar samples, and the carbonation procedure was carried out unter atmospheric conditions.
The preliminary results show that the correlation factors for the NMR features with the carbonation coefficients of concrete were particularly remarkable. The strongest correlations were observed for the dominant relaxation time and the logarithmic mean, with values approaching 1. The preliminary results also indicate that there are high correlations between the compressive strength and amplitude-related features. In contrast, no strong correlations are observed for the DRCM. Although the results related to the mortar samples are still being analyzed, these initial correlations suggest that 1H NMR relaxometry could be a valuable tool for early assessment of material properties. Furthermore, the rapid and non-destructive nature of NMR measurements, requiring only a few minutes per sample, suggests that this technique has the potential to significantly accelerate the process of evaluating durability properties in cementitious materials. This capability also paves the way for the use of NMR features as input for AI-driven predictive models.